Puru Sharma

Computing 1,

13 Computing Drive,

Singapore 117417

Hi! I am a first year Computer Science PhD candidate at the National University of Singapore, where my research is supervised by Professor Weng-Fai Wong.

My current research focuses on figuring out how to store data in DNA. There’s way too much data being generated every day, and we are quickly running out of space to store it. DNA has been proposed as both a very desirable and very cool solution! My work is very interdisciplinary and brings together Computer Systems, Algorithms, Machine Learning and Computational Biology. I am also more generally interested in NLP and AI research.

Outside of my research, I am very passionate about movies, games and sports (EPL, NFL, NBA).

News

Mar 02, 2024	Our work “DNA Storage Toolkit: A Modular End-to-End DNA Data Storage Codec and Simulator” was accepted at ISPASS’24, set to be held in Indianapolis, USA on May 5-7, 2024. This work is a collaboration with my friends Gary, Bin, Longshen and Dehui!
Jan 19, 2024	I have proposed two projects for the Odyssey undergraduate summer research program at School of Computing, NUS.
Oct 31, 2023	My first publication! I made my first conference presentation on our work “Efficiently Enabling Block Semantics and Data Updates in DNA Storage” at MICRO’23 in the Emerging Technologies session (4C).
Aug 08, 2023	I started my PhD at the National University of Singapore. I will be part of the Department of Computer Science at the School of Computing.

Publications and preprints

arxiv

AttentionStore: Cost-effective Attention Reuse across Multi-turn Conversations in Large Language Model Serving

Bin Gao , Zhuomin He , Puru Sharma , Qingxuan Kang , Djordje Jevdjic , Junbo Deng , Xingkun Yang , Zhou Yu , and Pengfei Zuo

In arxiv preprint , 2024

Bib

@inproceedings{bin2024attentionstore,
  title = {AttentionStore: Cost-effective Attention Reuse across Multi-turn Conversations in Large Language Model Serving},
  author = {Gao, Bin and He, Zhuomin and Sharma, Puru and Kang, Qingxuan and Jevdjic, Djordje and Deng, Junbo and Yang, Xingkun and Yu, Zhou and Zuo, Pengfei},
  booktitle = {arxiv preprint},
  year = {2024},
  url = {https://arxiv.org/abs/2403.19708},
  organization = {arxiv}
}

ISPASS’24

DNA Storage Toolkit: A Modular End-to-End DNA Data Storage Codec and Simulator

Puru Sharma , Gary Goh Yipeng , Bin Gao , Longshen Ou , Dehui Lin , Deepak Sharma , and Djordje Jevdjic

In 2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) , 2024

Bib

@inproceedings{sharma2024dnatoolkit,
  title = {DNA Storage Toolkit: A Modular End-to-End DNA Data Storage Codec and Simulator},
  author = {Sharma, Puru and Goh Yipeng, Gary and Gao, Bin and Ou, Longshen and Lin, Dehui and Sharma, Deepak and Jevdjic, Djordje},
  booktitle = {2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)},
  year = {2024},
  organization = {IEEE}
}

MICRO’23

Efficiently Enabling Block Semantics and Data Updates in DNA Storage

Puru Sharma , Cheng-Kai Lim , Dehui Lin , Yash Pote , and Djordje Jevdjic

In Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture , 2023

Bib PDF

@inproceedings{sharma2023efficiently,
  title = {Efficiently Enabling Block Semantics and Data Updates in DNA Storage},
  author = {Sharma, Puru and Lim, Cheng-Kai and Lin, Dehui and Pote, Yash and Jevdjic, Djordje},
  booktitle = {Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture},
  pages = {555--568},
  year = {2023},
  doi = {10.1145/3613424.3614308},
  url = {https://dl.acm.org/doi/10.1145/3613424.3614308},
}

ISPASS’22

Simulating Noisy Channels in DNA Storage

Mayank Keoliya , Puru Sharma , and Djordje Jevdjic

In 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) , 2022

Bib PDF

@inproceedings{keoliya2022simulating,
  title = {Simulating Noisy Channels in DNA Storage},
  author = {Keoliya, Mayank and Sharma, Puru and Jevdjic, Djordje},
  booktitle = {2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)},
  pages = {150--152},
  year = {2022},
  organization = {IEEE},
  doi = {10.1109/ISPASS55109.2022.00019},
}